Francis J. McMahon

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

The paper identifies molecular signatures in the anterior insula and subgenual ACC brain network associated with mood disorders and suicide outcomes using postmortem RNA-sequencing data.

The paper identifies a schizophrenia-specific gene expression pattern in the subgenual anterior cingulate cortex using multivariate analysis, highlighting neuro-immune pathways and GWAS-implicated genes.

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

The paper investigates genetic overlaps between categorical and dimensional models of bipolar disorder using a family sample and finds significant heritability and genetic correlations.

The paper analyzes transcriptomic differences in human brain cells with nine high-risk neuropsychiatric CNVs compared to non-carriers, finding widespread gene expression disruptions and shared functional pathways.

The paper identifies a conserved excitatory neuron gradient in human mediodorsal thalamus using single-nucleus and spatial transcriptomics, linking it to psychiatric disorder risk.

This study identifies alternative polyadenylation (APA) as a molecular mechanism linking polygenic risk for schizophrenia to synaptic impairments through functional analysis in induced neurons.

The paper identifies population-level variation in enhancer expression in the human brain and links enhancer eQTL to schizophrenia heritability.

The paper uses deep RNA sequencing to compare gene expression in the subgenual anterior cingulate cortex across major psychiatric disorders and controls, finding disorder-specific expression changes and genetic associations.

This study identifies genetic pleiotropy between bipolar disorder and metabolic/endocrine traits in a multigenerational Amish pedigree using imputed WGS and polygenic risk scores.

The paper shows that a genetic variant linked to mental illness reduces TRANK1 expression in neural cells, which is reversed by valproic acid treatment.

The paper applies association rule mining to GWAS data of bipolar disorder to identify novel genotype-phenotype relationships not detected by traditional GWAS methods.